JP2022529124A - Improvement of communication efficiency - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve communication efficiency. A step of receiving transmissions on two different polarizations on a radio channel from a network and a step of determining a plurality of coefficients associated with a precoding matrix based on the received channel measurements. The coefficients are at least partially defining a combination matrix, a step of selecting a coefficient from the coefficients of the weak polarization, and the selected coefficient is a reference of the weak polarization. A step, which is a coefficient, and a step of determining a first indicator and a second indicator with respect to the reference coefficient, wherein the first indicator indicates the position of the reference coefficient in the combination matrix, and the second indicator is. A method is provided in a user device comprising a step comprising an amplitude value associated with the reference factor and a step of reporting the first indicator and the second indicator to the network. [Selection diagram] Fig. 3

Description

Various embodiments generally relate to improving communication efficiency.

Recording can be done with a transmitter that uses multiple antennas. Recording is done to tune the signal transmitted for changes that may expose the signal as it passes through the radio channel between the transmitter and receiver. Pre-recording feedback can be used to perform the appropriate pre-recording.

According to some embodiments, the subject matter of the independent claims is provided. Dependent claims define several additional embodiments.

Hereinafter, the present invention will be described in more detail with reference to embodiments and accompanying drawings.
FIG. 1 shows a communication network to which an embodiment is applicable. 2A and 2B show examples of matrices and bitmaps, respectively. 2A and 2B show examples of matrices and bitmaps, respectively. 3 and 4 show methods according to some embodiments. 3 and 4 show methods according to some embodiments. FIG. 5 shows a signaling flow diagram according to an embodiment. 6 and 7 show devices according to some embodiments. 6 and 7 show devices according to some embodiments.

The following embodiments are exemplary. The specification may refer to "one", "one", or "some" embodiments in several places in the text, but this is not always the case. It does not mean that each reference is made to the same embodiment, or that a particular feature applies only to a single embodiment. It is also possible to combine a single feature of different embodiments to provide other embodiments.

The embodiments described here include WiMAX (Worldwire Internet Access for Micro-wave Access), GSM® (2G) (Global System for Mobile Communications), GERAN (GSSM) Radio Service, W-CDMA (basic radioband-code division multiple access) based on UMTS (3G) (Universal Mobile Technology System), HSPA It can be implemented in a radio system that includes at least one of LTE) radio access technology (RAT). The term "eLTE" here refers to the evolution of LTE connected to 5G cores. LTE is also known as Evolved UMTS Terrestrial Radio Access (EUTRA) or Evolved UMTS Terrestrial Radio Access Network (EUTRAN). The term "resource" may refer to radio resources such as physical resource blocks (PRBs), radio frames, subframes, time slots, subbands, frequency domains, subcarriers, beams, and "transmits" and / or " The term "receive" can refer to transmitting wirelessly over a radio propagation channel over a radio resource.

However, embodiments are not limited to the given system / RAT as an example, and one of ordinary skill in the art can apply this solution to other communication systems with the required characteristics. An example of a suitable communication system is a 5G system. The 5G 3GPP solution is called New Radio (NR: New Radio). 5G is expected to use more base stations or nodes than the current network deployment of multi-input multi-output (MIMO) multi-antenna transmission technology, LTE (so-called small cell concept), which is more Includes macro sites that work in tandem with small local area access nodes, and perhaps macro sites that also employ a wide variety of wireless technologies for better coverage and enhanced data rates. 5G may consist of multiple radio access technologies / radio access networks (RAT / RAN), each optimized for a particular use case and / or spectrum. 5G mobile has a wider range of use cases and related applications, including various forms of machine type applications including video streaming, augmented reality, different methods of data sharing, and vehicle safety, different sensors and real-time controls. be able to. 5G has multiple radio interfaces below 6 GHz, i.e. cm and mm waves, and is expected to be integrated with existing legacy radio access technologies such as LTE.

The current architecture in LTE networks is wirelessly distributed and centralized in the core network. Low latency applications and services in 5G require content to be closer to the radio leading to local breakouts and multi-access edge computing (MEC). In 5G, analysis and knowledge generation can be performed at the source of the data. This approach requires leveraging resources that may not be continuously connected to the network, such as laptops, smartphones, tablets, and sensors. MEC provides a distributed computing environment for application and service hosting. It also has the ability to store and process content near mobile phone subscribers to reduce response times. Edge computing includes wireless sensor networks, mobile data collection, mobile signature analysis, coordinated distributed peer-to-peer ad hoc networks, local cloud / fog computing and grid / mesh computing, due computing, mobile edge computing, cloudlets, distributed data. Storage and search, automatic self-healing networks, remote cloud services, enhanced and virtual reality, data caching, Internet of Things (IoT: massive connectivity and / or latency is important), critical communications (autonomous vehicles, traffic safety,) It covers a wide range of technologies (real-time analysis, time-critical controls, medical applications). Edge clouds can be brought to RAN by utilizing network functions virtualization (NVF) and software-defined networking (SDN). Using an edge cloud means that access node operations are performed, at least in part, on a server, host, or node that is operationally coupled to a remote radio head or base station that includes the radio portion. Can be done. Network slices allow you to create multiple virtual networks on top of a common shared physical infrastructure. The virtual network is then customized to meet the specific needs of the application, service, device, customer, or operator.

For 5G networks, the architecture may be based on so-called CU-DU (central unit-distributed unit) partitioning, where one gNB-CU controls several gNB-DUs. The term "gNB" can correspond to LTE eNB in 5G. The gNB (one or more) can communicate with one or more UEs 120. The gNB-CU (central node) can control at least a plurality of spatially separated gNB-DUs that function as transmit / receive (Tx / Rx) nodes. However, in some embodiments, the gNB-DU (also referred to as DU) can include, for example, wireless link control (RLC), medium access control (MAC) and physical (PHY) layers, while gNB. -CU (also referred to as CU) can include layers above the RLC layer, such as the Packet Data Convergence Protocol (PDCP) layer, Radio Resource Control (RRC) layer and Internet Protocol (IP) layer. Other functional divisions are also possible. Those skilled in the art will be familiar with the OSI model and the functions within each layer.

There may be other technological advances in software-defined networking (SDN), big data, all-IP, etc., but these are just a few non-limiting examples. For example, network slicing can be a form of virtual network architecture that uses the same principles behind software-defined networking (SDN) and network function virtualization (NFV) in fixed networks. SDNs and NFVs can increase network flexibility by allowing traditional network architectures to be split into linkable virtual elements (also via software). Network slices allow you to create multiple virtual networks on top of a common shared physical infrastructure. The virtual network is then customized to meet the specific needs of the application, service, device, customer, or operator.

Multiple gNBs (access points / nodes), each constituting a CU and one or more DUs, can be connected to each other via an Xn interface that the gNB can negotiate with. The gNB can also be connected to a 5G core network (5GC) via a next generation (NG) interface. This can be 5G, which is the equivalent of LTE's core network. Such a 5G CU-DU split architecture configures the cloud / server so that the CU with higher layers is located in the cloud and the DU is closer to or better than the actual radio and antenna unit. Can be achieved by using. Similar plans are underway for LTE / LTE-A / eLTE. If both eLTE and 5G use similar architectures on the same cloud hardware (HW), the next step is software so that one common SW controls both radio access networks / technologies (RAN / RAN). It is a combination of (SW). This enables a new way to control the radio resources of both RANs. In addition, the full protocol stack can be configured to be controlled by the same HW and processed by the same radio unit as the CU.

It should also be understood that the labor distribution between core network operations and base station operations may differ from that of LTE or may not even exist. Perhaps some of the other technological advances used are big data and all-IP, which may change the way networks are built and managed. 5G (or new radio, NR) networks are designed to support multiple tiers where MEC servers can be placed between the core and the base station or node B (gNB). It should be understood that MEC is applicable to 4G networks as well.

5G can also utilize satellite communications to enhance or complement the coverage of 5G services, for example by providing a backhaul. Possible use cases include providing service continuity to machine-to-machine (M2M) or Internet of Things (IoT) devices and passengers, ensuring service availability for critical communications, and future rail / maritime / aviation. It is to secure communication. Geosynchronous orbit (GEO) satellite systems can be used for satellite communications, but low earth orbit (LEO) satellite systems, especially megaconstellation (systems with hundreds of (nano) satellites) are also available. Each satellite in a megaconstruction may cover several satellite-enabled network entities that create ground cells. Ground cells can be created via ground relay nodes or by gNBs located on the ground or in satellites.

The embodiments are also applicable to narrowband (NB) mono-Internet of Things (IoT) systems that may allow a wide range of devices and services to be connected using cellular telecommunications bands. NB-IoT is a narrowband wireless technology designed for the Internet of Things (IoT) and is one of the technologies standardized by the 3rd Generation Partnership Project (3GPP). Other 3GPP IoT techniques suitable for implementing embodiments include machine type communication (MTC) and eMTC (extended machine type communication). NB-IoT enables a large number of connected devices, with a particular focus on low cost and long battery life. NB-IoT technology uses LTE (Long Term Evolution) in a "stand-alone" deployment using a resource block within a normal LTE carrier, or an unused resource block within the guard band of an LTE carrier, or in a dedicated spectrum deployment. ) Is expanded "in-band" in the spectrum assigned.

FIG. 1 shows an example of a communication system to which an embodiment of the present invention can be applied. The device can include a control node 110 that provides the cell 100. Each cell may be, for example, a macro cell, a micro cell, a femto, or a pico cell. In another aspect, the cell can define a coverage area or service area for access node 110. The control node 110 can control evolution node B as in LTE and LTE-A, ng-eNB, 5G gNB as in eLTE, or other radio communication in the cell and manage radio resources. It may be any device. The control node 110 can be referred to as a base station, network node, or access node.

This system can be a cellular communication system composed of a radio access network of access nodes that control each cell. The access node 110 can provide the user equipment 120 (one or more UEs 120, 122) with wireless access to other networks such as the Internet. The wireless access can include downlink (DL) communication from the control node 110 to the UEs 120 and 122 and uplink (UL) communication from the UE 120 to the control node 110. In addition, one or more local area access nodes can be located within the control area of the macro cell access node. Local area access nodes can provide wireless access within subcells configured within macro cells. Examples of subcells may include microcells, picocells and / or femtocells. Subcells usually provide hotspots within macro cells. The behavior of the local area access node can be controlled by the access node under the control area where the subcell is provided.

For multiple access nodes in a communication network, the access nodes can be connected to each other by an interface. In the LTE specifications, such an interface is called an "X2 interface". In the case of an 802.11 network (ie, wireless local area network, WLAN, WiFi), a similar interface Xw may be provided between the access points. The interface between the eLTE access point and the 5G access point may be referred to as Xn. Other methods of communication between access nodes are also possible.

The access node 110 can be further connected to the core network of the cellular communication system via another interface. The LTE specification defines a core network as an evolutionary packet core (EPC), which can include a mobility management entity (MME) and a gateway node. The MME can handle the mobility of the terminal device in the tracking area containing the plurality of cells and can handle the signaling connection between the terminal device and the core network. Gateway nodes can handle data routing within the core network and to and from terminal devices. The 5G specification defines a core network as a 5G core (5GC), which can consist of an advanced mobility management entity (AMF) and a gateway node. The AMF can handle the mobility of the terminal device within the tracking area containing the plurality of cells and can handle the signaling connection between the terminal device and the core network. Gateway nodes can handle data routing within the core network and to and from terminal devices.

A UE typically refers to a mobile computing device that includes a wireless mobile communication device that operates with or without a subscriber identification module (SIM), including mobile stations (mobile phones), smartphones, and personal digital assistants. Includes (PDAs), handsets, devices that use wireless modems (such as alarms or measuring devices), laptop and / or touch screen computers, tablets, game consoles, notebooks, vehicle devices, and multimedia device types. However, it is not limited to these.

For multiple access nodes in a communication network, the access nodes can be connected to each other by an interface. In the LTE specifications, such an interface is called an "X2 interface". In the case of an 802.11 network (ie, wireless local area network, WLAN, WiFi), a similar interface Xw may be provided between the access points. The interface between the eLTE access point and the 5G access point may be referred to as Xn. Other methods of communication between access nodes are also possible. The access node 110 can be further connected to the core network of the cellular communication system via another interface. The LTE specification defines a core network as an evolutionary packet core (EPC), which can include a mobility management entity (MME) and a gateway node. The MME can handle the mobility of the terminal device in the tracking area containing the plurality of cells and can handle the signaling connection between the terminal device and the core network. Gateway nodes can handle data routing within the core network and to and from terminal devices. The 5G specification defines a core network as a 5G core (5GC), which can consist of an advanced mobility management entity (AMF) and a gateway node. The AMF can handle the mobility of the terminal device within the tracking area containing the plurality of cells and can handle the signaling connection between the terminal device and the core network. Gateway nodes can handle data routing within the core network and to and from terminal devices.

Form part of UE-to-network pre-recording matrix indicator (PMI) reporting to support downlink multi-user multi-input multi-output (MU-MIMO) in the Rel-16 new radio (NR / 5G). A new quantization scheme has recently been agreed to report the linear coupling (LC) coefficient (LCC). MU-MIMO adds multiple access (multi-user) capabilities to MIMO. Pre-recording is necessary for a transmitter (for example, an access node in downlink communication) to transmit to a plurality of users using a plurality of antennas while optimizing a throughput or the like.

Recording is a generalization of beamforming to support multi-stream (or multi-layer) transmission in multi-antenna radio communications. In conventional single stream beamforming, the same signal is radiated from each of the transmitting antennas with appropriate weighting (phase and gain) so that the signal power is maximized at the receiver output. If the receiver has multiple antennas, single stream beamforming cannot maximize the signal level at all of the receiving antennas at the same time. Multistream transmission is generally required to maximize throughput in multiple receive antenna systems. In a point-to-point system, pre-recording means that multiple data streams are radiated from the transmit antenna with appropriate independent weighting so that the link throughput is maximized at the receiver output. In multi-user MIMO, the data stream is intended for different users (eg, spatial split multiple access, SDMA) and some measure of total throughput can be maximized. Simply put, pre-recording at the transmitter aims to transform the vector of the transmit symbol in such a way that the vector reaches the receiver in the strongest possible form on a given channel.

Transmission may require channel information to perform proper recording. It is the subject of the Pre-Recording Matrix Indicator (PMI). The PMI can be part of the channel state information (CSI) that the receiving device reports to the transmitting device. In practice, channel state information is limited at the transmitter due to estimation error and quantization. PMI feedback is further complicated by the use of different polarizations by the transmitter.

First, an overview of the two-dimensional compression mechanism for PMI reporting in Rel-16MU-MIMO will be taken up, followed by a detailed explanation by the quantization scheme. The description is written in terms of downlink, for example, where the access node 110 is the transmitter and the UEs 120, 122 are the receivers, but embodiments are generally any transmitter-receiver communication. In the link, it can be applied not only to uplink communication but also to M2M / D2D communication. Similarly, embodiments are also applicable to single user (SU) MIMO.

の式で表すことができる。ここで、行列Ｗ_１の列ベクトルは、サイズ２ＬのＳＤ直交基底のコンポーネントであり、Ｗ_ｆの列は、サイズＭのＦＤ直交基底を形成し、

は、プリコーダ行列の圧縮版を表す複素値ＬＣ係数の２Ｌ×Ｍ行列である。この行列

は、組み合わせ行列、または組み合わせ係数行列と呼ぶことができる。すなわち、プリコーダ行列は、空間領域、例えば、Ｌ＜２Ｎ_１Ｎ_２で圧縮することができ、さらに、周波数領域、例えば、Ｍ＜Ｎ_３で、さらに圧縮することができる。

における各係数（組み合わせ係数またはＬＣ係数とも呼ばれる）は、チャネルが特定の空間ビーム（コンポーネント）内および特定の周波数ビーム（またはコンポーネント）上の信号基準にどのように影響するかを示すことができる。ＳＤおよびＦＤベースのコンポーネントは、適切な、そして任意選択的にオーバーサンプリングされた離散フーリエ変換（ＤＦＴ）コードブックから選択される。シグナリングオーバーヘッドをさらに低減するために、２ＬＭ ＬＣ係数の一部のみが報告され、残りのものはゼロに設定される。報告されたＬＣ係数のこのグループは、非ゼロ（ＮＺ）係数と呼ばれる。これらは、例えば、ある所定の振幅閾値を超える係数である。 In Rel-16 MU-MIMO PMI feedback, the UE performs compression in the spatial domain (SD) and frequency domain (FD), a set of recording vectors for a given spatial layer for all configured subbands. Applies to the matrix of coefficients to represent. It is assumed that W is represented as a subband PMI matrix of size 2N ₁ N ₂ × N ₃ . Here, N ₁ and N ₂ are the number of antenna ports associated with the two polarities used in the two-dimensional cross-polarized transmission antenna array, and N 3 is the number of configured PMI subbands. The PMI matrix can be referred to as the precoder matrix for simplicity. For rank indicators (RI) greater than 1, there is one such PMI matrix for each of the RI spatial layers. To facilitate the following notation, the quantization operation in Rel-16 MU-MIMO PMI feedback is applied independently to each of the RI layers, so consider general layer compression. The compression operation for W is linear and

Can be expressed by the formula of. Here, the column vector of the matrix W ₁ is a component of the SD orthogonal basis of size 2L, and the column of W _f forms the FD orthogonal basis of size M.

Is a 2L × M matrix of complex value LC coefficients representing a compressed version of the precoder matrix. This matrix

Can be called a combination matrix or a combination coefficient matrix. That is, the precoder matrix can be further compressed in the spatial domain, eg, L <2N ₁ N ₂ , and further in the frequency domain, eg, M <N ₃ .

Each coefficient in (also called a combination coefficient or LC coefficient) can indicate how the channel affects the signal reference within a particular spatial beam (component) and on a particular frequency beam (or component). SD and FD-based components are selected from the appropriate and optionally oversampled Discrete Fourier Transform (DFT) codebook. To further reduce the signaling overhead, only some of the 2LM LC coefficients are reported and the rest are set to zero. This group of reported LC coefficients is called the nonzero (NZ) coefficient. These are, for example, coefficients that exceed a certain amplitude threshold.

行列内のＫ_ＮＺ非ゼロ係数の位置、および、これらの非ゼロ係数の量子化値を示す２Ｌ×Ｍビットマップから構成されることができる。 For example, PMI reporting from the UE to the access node for a given layer has two indicators for SD and FD basis subset selection, respectively.

It can consist of a 2L × M bitmap showing the location of the _KNZ nonzero coefficients in the matrix and the quantized values of these nonzero coefficients.

のように表す。ＵＥは、アップリンク制御情報（ＵＣＩ）に、

における非ゼロ係数の量子化に関する次の情報を報告する。
１．マップ内で最も強い係数インデックス（ｌ^＊，ｍ^＊）の［ｌｏｇ＿２Ｋ_ＮＺ］ビットインジケータ。これは、最も強い係数の位置（つまり場所）を示す。最も強いのは、係数の大きさによって決定することができる。
ａ．最も強い係数

（したがって、その振幅／位相は報告されない）
２．２つの偏波特定基準振幅：
ａ．最も強い係数

に関連する偏波については、基準振幅＝１であるため、報告されない。
ｂ．他の偏波については、基準振幅（すなわち、対応する偏波に関連する最も強い係数の振幅）は、４ビットに量子化される
・ アルファベットは

（－１．５ｄＢ ステップサイズ） である
３．｛ｃ_ｌ，ｍ，（ｌ，ｍ）≠（ｌ^＊，ｍ^＊）｝に対して、
ａ．各偏波に対して、関連する偏波固有の基準振幅ｐ_ｒｅｆ（ｌ，ｍ）に対して計算され、３ビットに量子化された係数の差動振幅ｐ_ｄｉｆｆ（ｌ，ｍ）
・ アルファベットは、

（－３ｄＢ ステップサイズ）である
・ 注：最終的な量子化振幅ｐ_ｌ，ｍは、ｐ_ｒｅｆ（ｌ，ｍ）×ｐ_ｄｉｆｆ（ｌ，ｍ）である
ｂ．各フェーズは、８ＰＳＫ（３ビット）または１６ＰＳＫ（４ビット）（設定可能）のいずれかに量子化される。 Now consider the non-zero LC coefficient quantization operation. The amplitude and phase of the coefficients are quantized separately according to the following scheme. The LC coefficients related to the beam l ∈ {0,1, ..., 2L-1} and the frequency unit m ∈ {0,1, ..., M-1} are expressed as cl _{, m} (using a bitmap). Of the non-zero coefficients _KNZ reported in the report), the strongest coefficient

It is expressed as. The UE informs the uplink control information (UCI),

We report the following information on the quantization of non-zero coefficients in.
1. 1. [Log_2K _NZ ] bit indicator with the strongest coefficient index (l ^* , m ^* ) in the map. This indicates the position (ie, location) of the strongest factor. The strongest can be determined by the magnitude of the coefficient.
a. Strongest coefficient

(Therefore, its amplitude / phase is not reported)
2. Two polarization specific reference amplitudes:
a. Strongest coefficient

The polarization related to is not reported because the reference amplitude is 1.
b. For other polarizations, the reference amplitude (ie, the amplitude of the strongest coefficient associated with the corresponding polarization) is quantized to 4 bits.

(-1.5 dB step size) 3. For {cl _{, m} , (l, m) ≠ (l ^* , m ^* )}
a. For each polarization, the differential amplitude p _diff (l, m) of the coefficients calculated and quantized into 3 bits for the reference amplitude _pref (l, m) specific to the associated polarization.
・ The alphabet is

(-3 dB step size) _-Note : The final quantization amplitude _{pl, m} is pref (l, m) × p _diff (l, m) b. Each phase is quantized to either 8PSK (3 bits) or 16PSK (4 bits) (configurable).

There may be a problem with the report of parameter 2b above the uplink control information (UCI) message, i.e. the reference amplitude of weak polarization. The current list of agreed UCI fields is shown in Table 1.

Parameter 2b, the reference amplitude of the weaker polarity, can be included in the last row (LC coefficient amplitude) of the list above UCI Part 2. Note that the order in which these amplitude values are encoded in the sequence in this UCI field is determined by the bitmap according to the specified reading order. For example, by increasing the dimension index, the row (SD) becomes the first dimension and the column (FD) becomes the second dimension. However, this read order is not applicable to the reference amplitude of weaker polarization. This problem requires the definition of a new rule to identify the position of the reference amplitude in the UCI field of the quantized LC coefficient amplitude, or equivalently introduces a separate UCI field for this parameter. Need to do.

を表す。図２Ｂは、対応するビットマップを示している。各偏波の最も強い係数は点線のセル水平偏波に対してｃ_１，１、および、垂直偏波に対してｃ_４，０で強調表示される。上で説明したように、

を最も強い係数全体（すなわち、すべての偏波にわたって）表すとする。 To better understand the task, with reference to FIGS. 2A and 2B, how the quantization scheme works will be described in more detail by way of example. FIG. 2A shows a matrix with _KNZ = 10 nonzero LC coefficients before normalization and quantization.

Represents. FIG. 2B shows the corresponding bitmap. The strongest coefficient of each polarization is highlighted with c ₁ , 1 for the dotted cell horizontal polarization and c ₄ , 0 for the vertical polarization. As explained above

Is represented by the entire strongest coefficient (ie, over all polarizations).

における非ゼロＬＣ係数の構成例を示す。一般係数の振幅と位相を、

次のように指定する。各偏波に対する最も強い係数は図中で強調され、その偏波の振幅量子化のための振幅基準として役立つ。この例では、全体的に最も強い係数が水平偏波で見られ、

によって表されるのに対して、他方の偏波の最も強い係数（弱い方）は、ｃ_４，０である。 As mentioned above, FIG. 2A shows the pre-quantization

The configuration example of the non-zero LC coefficient in is shown. Amplitude and phase of general coefficients,

Specify as follows. The strongest coefficient for each polarization is highlighted in the figure and serves as an amplitude reference for amplitude quantization of that polarization. In this example, the strongest overall coefficient is seen in the horizontal polarization,

The strongest coefficient (weaker) of the other polarization is c ₄ , 0, whereas it is represented by.

の位相によって正規化される。
・ 振幅正規化：偏波内のすべての係数の振幅が、それぞれの振幅リファレンスによって正規化される。水平偏波に対して：

垂直偏波に対して：

・ 弱い方の極性の基準振幅は、Ａで表され、

で与えられる。 Before applying the scalar quantizer to the amplitude and phase, they are normalized as follows.
-Phase normalization: The phase of all coefficients is the strongest

Normalized by the phase of.
Amplitude normalization: The amplitudes of all coefficients in the polarization are normalized by their respective amplitude references. For horizontal polarization:

For vertical polarization:

-The reference amplitude of the weaker polarity is represented by A and is represented by A.

Given in.

・

これは、水平偏波のための基準振幅であり、この例では、より強い偏波、すなわち、行列

において最も強い大きさを提供するものと仮定される。

ここで、

は、垂直偏波のための基準振幅を表し、この例では、より弱い偏波であると仮定される。

Following these, the normalized value of the non-zero coefficient of the cell (l, m) in FIG. 2A is as follows.
・

・

This is the reference amplitude for horizontal polarization, in this example stronger polarization, i.e. matrix.

Is assumed to provide the strongest size in.

here,

Represents the reference amplitude for vertical polarization, and in this example it is assumed to be weaker polarization.

In addition, scalar quantization can be applied separately to the amplitude and phase of the nonzero coefficients. The position of the entire strongest coefficient is indicated by the special UCI field "Strongest Coefficient Indicator (SCI)" in Table 1, and since its value is 1, its amplitude and phase are not quantized and are not reported. Therefore, the two fields of UCI Part 2 (the last two rows of Table 1) have the total K _NZ -1 amplitude and K _NZ -1 phase that are quantized and reported. These quantized values are reported to the network, for example, in bit sequences.

The order in which the quantized LC coefficient amplitude and phase binary representations are placed in each UCI field is, for example, by reading one position in the "row" or "column" direction from the bitmap. Can be decided. Other orders are possible, for example, by first reporting the non-zero coefficients of the horizontally polarized waves, followed by the coefficients of the vertically polarized waves and the like.

The problem is that the UCI receiver (or other control signal receiver) is the quantized reference amplitude Aq for the weaker polarity of the reported quantized amplitudes (in this example). , Vertical polarization) may need to be known. This is because the network node (or the other recipient of the report) multiplies the reported quantified amplitude of the weaker polarization by the quantized reference amplitude _Aq to achieve the weaker polarity. This is because it may be necessary to reconstruct the amplitude. It should be noted that network nodes can determine weaker polarities from SCI parameters and bitmaps. The network node can also determine from the bitmap the quantized amplitude that belongs to the weaker polarity. However, there is no position indicator for the strongest coefficients for weaker polarities in bitmaps, and there is no way for network nodes to infer this information from other UCI parameters. In addition, the normalized reference amplitude _Aq is quantized at 4 bits, one bit more than all other amplitudes, and the network node is unaware of the location of the normalized reference amplitude _Aq in the UCI field. It becomes impossible to analyze the binary sequence of the LC coefficient amplitude in.

であるならば、

ビットを必要とし得る。ここで、Ｋ_０は、上位階層信号を通してネットワークによって設定されたパラメータである。これは、任意の層に対して非ゼロ係数の最大数を設定する。しかしながら、これはかなり広範なシグナリングオーバーヘッドを必要とし得る。 To address this challenge, at least in part, one possible solution is to add an indicator for the position of the strongest coefficient of weaker polarity in the UCI. This indicator indicates if _KNZ is known for each layer, or

If it is,

May need a bit. Here, K ₀ is a parameter set by the network through the upper layer signal. This sets the maximum number of nonzero coefficients for any layer. However, this can require fairly extensive signaling overhead.

Therefore, it may be beneficial to address this problem with another solution that provides position / position indications for the strongest coefficients for weak polarization in bitmaps with low signaling overhead. As shown here, this solution can further avoid the need to explicitly indicate the location of this factor.

This solution is shown in FIG. 3 in terms of a first device, eg, a receiving device such as the UE 120 or 122.

In step 300, the UE can receive transmissions / communications on two different polarizations over the radio channel from a second device, such as from a network such as from access node 110. Transmission can include data or control signals. The transmission can include a reference signal. The reference signal can be, for example, a cell-specific reference signal. In one embodiment, the network can transmit a channel state information reference signal (CSI-RS) to allow CSI / PMI estimation and calculation in the UE. The polarization can include, for example, horizontal and vertical polarization.

など）プレコーディング行列に関連する複数の係数を決定することができ、ここで、係数は、少なくとも部分的に、組み合わせ行列

を規定する。上述のように、ＵＥは、ある空間領域ビームおよび周波数領域ビームに対応するＰＭＩの係数の振幅（大きさとしても知られる）および位相を決定することができる。決定されたＰＭＩ係数は、測定されたチャネルに関連するプレコーディングベクトルが空間的および周波数領域でどのように変化するかを描写する行列を形成することができる。 In step 302, the UE is based on the receive channel measurement of step 300 (

Etc.) Multiple coefficients related to the recording matrix can be determined, where the coefficients are, at least in part, a combinatorial matrix.

Is specified. As mentioned above, the UE can determine the amplitude (also known as magnitude) and phase of the coefficients of the PMI corresponding to a spatial domain beam and a frequency domain beam. The determined PMI coefficients can form a matrix that describes how the recording vector associated with the measured channel changes in the spatial and frequency domains.

In step 304, the UE can select a coefficient from among the coefficients of the weaker polarization, the selected coefficient being the reference coefficient for the weaker polarization. For simplicity, it is assumed that there are two polarizations, horizontal and vertical, as shown in FIG. 2A. The reference factor can be the reference factor for the selected polarization, i.e., the reference factor for the weaker of the two polarizations.

According to one embodiment, the reference coefficient is a coefficient having the largest magnitude within or associated with a weaker polarization coefficient. In one embodiment, the strongest polarization is the polarization at which the coefficient with the largest magnitude is measured. In another embodiment, the strongest polarization can be determined based on the average amplitude of all coefficients. Therefore, in one embodiment, the UE can determine the strongest of the two polarizations. Similarly, the UE can determine which of the two polarizations is the weakest. In the above-mentioned example with respect to FIG. 2A, since the strongest coefficients c ₁ and 1 are related to the polarization, the strongest polarization may be horizontal polarization and the weak polarization is vertical polarization. The reference coefficient is c ₄ , 0 because it is the strongest coefficient of the weaker polarization. As mentioned above, the "strongest coefficient" means the largest coefficient.

If there are two coefficients of equal magnitude, one is associated with each of the two polarizations, and then which of the two polarizations is the reference coefficient (eg, the other of the two equally strong coefficients). There may be certain rules that specify whether a factor of) is selected and considered to be a weaker polarization. If polarization A is associated with two equally strong coefficients x and y, where polarization A is the strongest coefficient, but another polarization B is associated with one or more stronger coefficients, then polarization B. Is the strongest polarization and polarization B is the weaker polarization. In addition, there can be pre-defined rules for selecting either the coefficient x or y as the reference coefficient for the coefficient of polarization B.

At step 306, the UE can determine a first indicator and a second indicator for the reference factor. According to one embodiment, the first indicator indicates the position of the reference factor in the combination matrix. In the embodiment, the position of the first indicator in the sequence indicates the position of the reference coefficients c ₄ , 0 in the combination matrix. According to one embodiment, the second indicator includes an amplitude value associated with a reference factor.

At step 308, the UE can report the first and second indicators to the access node 110. These can be reported via uplink control signaling, eg, physical uplink control channel (PUCCH) or physical uplink shared channel (PUSCH). The report can be part of a PMI report or a CSI report. In one embodiment, the first indicator is included in a sequence transmitted to the network.

FIG. 4 shows a proposed solution in terms of a second device, such as a network node (eg, access node 110).

In step 400, the access node can transmit to the first device, eg, UEs 120, 122, over the radio channel with two different polarizations. As mentioned in connection with step 300, the transmission can include data and / or control signals. Transmission can include, for example, a reference signal that the receiving device can use to determine how the channel affects the transmitted signal.

In step 402, the access node can receive a first indicator and a second indicator from the UE, the first indicator and the second indicator representing a reference factor for a weaker polarization combination factor and a combination. The coefficients are associated with the pre-recording matrix based on the channel measurement (performed by the UE), and the combination coefficients define the combination matrix, at least in part. As described, in some embodiments, the reference factor is c ₄ , 0. Because it is the strongest coefficient of weaker (longitudinal) polarization.

In step 404, the access node 110 can derive the position of the reference factor in the combinatorial matrix based on the first indicator, as described.

に対応することができる。このようにして、ビットマップは、所定の閾値（すなわち、非ゼロ係数）を超えるそれらの係数の空間的および周波数ドメイン位置を示すことができる。閾値は振幅閾値であり得る。実施形態において、ＵＥは、シーケンス内の第１インジケータを報告することができ、シーケンスは、最大の大きさを有する係数を除き、所定の閾値を超える係数の振幅値を含む。前述のように、ＵＣＩパート２の２つのフィールド（表１の最後の２行）には、量子化されて報告される全Ｋ_ＮＺ－１振幅とＫ_ＮＺ－１位相がある。これらの量子化された値は、大きさが最大の係数を除き、所定の閾値を超える係数の振幅値に対応することができる。ただし、本実施の形態によれば、係数ｃ４，０に対応する値は、４ビットで量子化された

シーケンスでは報告されない。この実施形態では、第１インジケータは、ビット列「１１１」または「１１１１」、すなわち最大量子化値のような、シーケンス内の所定の値を表す／示す／含む。ＵＥおよびネットワークによって知られている他の所定値も同様に可能である。「１」を表す所定の値は、ａ４，０の振幅をそれ自身で除算することによって得られてもよい。 In one embodiment, the UE can also report the bitmap of FIG. 2B to the network. Bitmaps may correspond to combinatorial matrices. For example, a "1" in a bitmap can represent a non-zero factor in a matrix, while a "0" is a factor below a predefined threshold.

Can be accommodated. In this way, bitmaps can indicate the spatial and frequency domain positions of those coefficients above a given threshold (ie, the nonzero coefficient). The threshold can be an amplitude threshold. In an embodiment, the UE can report a first indicator in the sequence, the sequence comprising amplitude values of coefficients above a predetermined threshold, except for the coefficients having the largest magnitude. As mentioned above, the two fields of UCI Part 2 (the last two rows of Table 1) have the total K _NZ -1 amplitude and K _NZ -1 phase that are quantized and reported. These quantized values can correspond to the amplitude values of the coefficients exceeding a predetermined threshold, except for the coefficient having the largest magnitude. However, according to the present embodiment, the value corresponding to the coefficients c4 and 0 is quantized by 4 bits.

Not reported in the sequence. In this embodiment, the first indicator represents / indicates / includes the bit string "111" or "1111", i.e., a predetermined value in the sequence, such as the maximum quantized value. Other predetermined values known by the UE and network are similarly possible. The predetermined value representing "1" may be obtained by dividing the amplitude of a4,0 by itself.

It should be noted that the sequence order is determined by the bitmap. For example, it is determined by reading the position "row direction" or "column direction" of 1. This rule may be known by both parties of communication. Therefore, one implementation of the above solution involves defining the LCC amplitude in a sequence within a UCI region with a _KNZ -1 3-bit binary string, each except for the strongest coefficients c ₁ , 1. Represents the quantized value of the nonzero coefficients in the bitmap. The number of binary sequences and the order of the coefficients in the sequence are the same as those in the LCC market. However, the differential amplitude corresponding to the strongest coefficient of weaker polarity is given by the 3-bit binary sequence representing "1".

ここで、「１」はシーケンスの第１セルにある。これは、ｃ_４，０が図２Ａまたは２Ｂの非ゼロ係数を横方向にたどる場合の第１係数であるためである。係数Ｃ_５，１が弱い方の偏波の範囲内で最大の大きさの係数である場合、シーケンス内の第１インジケータ（「１」）の位置は、第４セルとなる。（現在、

を読んでいる）シーケンスの第１セルは、

となり、現在ａ４，０と表示されている配列の分母がすべてａ_５，１に置き換えられる。 In the example of FIG. 2A, by adopting the row-by-row order of non-zero elements from the bitmap of FIG. 2B, the UCI's LCC amplitude sequence contains a quantized representation of the following normalized differential amplitude values. Is done.

Here, "1" is in the first cell of the sequence. This is because c ₄ , 0 is the first coefficient when the non-zero coefficient of FIG. 2A or 2B is traced laterally. When the coefficients C ₅ and 1 are the largest coefficient in the range of the weaker polarization, the position of the first indicator (“1”) in the sequence is the fourth cell. (Current,

The first cell of the sequence is

And all the denominators of the array currently displayed as _a4,0 are replaced with a5,1.

の４ビット量子化値を含む。しかしながら、シーケンスの受信者がシーケンス中のビット列のどれが弱偏波の基準係数ｃ_４，０に対応するかを導出することは不可能であろう。現在の提案では、受信者が、ＵＥが弱い偏波の基準係数ｃ_４，０の位置において、「１］（または他の何らかの所定値）の量子化された値をマークすることを知っているので、これが可能である。 In the prior art solution, the first cell of the sequence is

Includes 4-bit quantization value of. However, it would be impossible for the receiver of the sequence to derive which of the bit strings in the sequence corresponds to the weakly polarized reference coefficients c ₄ , 0. In the current proposal, the receiver knows that the UE marks a quantized value of "1] (or some other predetermined value) at the position of the reference factor c ₄ , 0 for weak polarization. So this is possible.

で求められることがあるので、振幅値と呼ばれることがある。言い換えると、数学的にそのような値は、ビットマップ内、結果的に行列内でそのような係数の位置を暗に与える、より弱い偏波の基準係数の差動振幅として得られる。これは、基準素子の同じ振幅を有する、より弱い偏波における素子の数にかかわらず成立する。実際に、
・ 弱偏波の参照要素が厳密に最大である場合、全体シーケンス、すなわち３ビットシーケンス「１１１」にはただ１つの「１］が現れる。
・ より弱い偏波の基準素子が、より弱い偏波の中の１つ以上の他の素子と同じ振幅（いずれにせよ最大）を有する場合、差動振幅シーケンス中に、同じ振幅を有する素子の数と同じ数の「１」値が存在し得る。例えば、弱偏波に４つの係数があるとする。簡単にするために、これらをｃ１、ｃ２、ｃ３、ｃ４と呼ぶ。ｃ１、ｃ３、ｃ４は振幅３を持ち、ｃ２は振幅２を持つと仮定する。次に、ｃ１を基準値としてラベル付けする。その振幅は、他の２つの係数と同じであっても最大である。このような場合、基準係数として３つの係数のうちの一定の１つを選択する所定の規則がある場合がある。次に、ＵＥは、ｃ１／ｃ１＝１、ｃ２／ｃ１＝０．６６、ｃ３／ｃ１＝１およびｃ４／ｃ１＝１を計算することができる。結果として得られる差分振幅ビットシーケンスは、「１１１ＮＮＮ１１１１１１」であってもよく、ここで、ＮＮＮは、量子化された０．６６に関連するビットシーケンスを表し、シーケンス１１１は、より弱い偏波における最大振幅を有する素子の位置を示す。 This predetermined value "1" is an expression

It is sometimes called the amplitude value because it may be obtained from. In other words, mathematically such a value is obtained as the differential amplitude of the weaker polarization reference coefficient, which implicitly gives the position of such a coefficient in the bitmap, and thus in the matrix. This is true regardless of the number of elements in the weaker polarization with the same amplitude of the reference element. actually,
-When the weakly polarized reference element is exactly maximum, only one "1" appears in the whole sequence, i.e., the 3-bit sequence "111".
If a reference element with a weaker polarization has the same amplitude (in any case, maximum) as one or more other elements in the weaker polarization, then in the differential amplitude sequence, the element with the same amplitude. There can be as many "1" values as there are numbers. For example, suppose there are four coefficients for weak polarization. For simplicity, these are referred to as c1, c2, c3, c4. It is assumed that c1, c3, and c4 have an amplitude of 3 and c2 has an amplitude of 2. Next, c1 is labeled as a reference value. Its amplitude is maximal, even if it is the same as the other two coefficients. In such cases, there may be a predetermined rule to select a certain one of the three coefficients as the reference coefficient. The UE can then calculate c1 / c1 = 1, c2 / c1 = 0.66, c3 / c1 = 1 and c4 / c1 = 1. The resulting differential amplitude bit sequence may be "111NNN111111", where NNN represents the bit sequence associated with the quantized 0.66, where sequence 111 is the maximum at the weaker polarization. The position of the element having the amplitude is shown.

In either case, "1" can be used as an indicator of the position of the reference coefficient for weak polarization. This is because it is always an indicator of the position of the strongest element of weak polarization.

The network node that receives the bitmap and the first indicator in the sequence derives the position of the reference coefficients c ₄ , 0 in the combination matrix based on the first indicator (eg, its location in the sequence) and the bitmap. be able to.

つまり、そのフェーズの報告を変更する必要はない。 Note that for completeness, in embodiments, the UE reports another sequence for the phases within the UCI. For example, the UCI LCC phase field contains the corresponding quantized representation of the following normalized values.

That is, there is no need to change the reporting for that phase.

In an embodiment, the UE can report a second indicator in the field, the position of which is independent of the first indicator. In embodiments, the second indicator is reported in a field within the UCI. This field may be a new field with respect to those listed in Table 1. In another embodiment, the second indicator is reported at a predetermined position in the sequence. In other words, there may be certain predetermined rules that identify the position of the second indicator in the sequence of quantized amplitudes. For example, it can be added at the beginning or end of a sequence. Thus, the position of the second indicator is not determined by the position of the coefficients c ₄ , 0 in the bitmap, but by another rule.

の量子化されたビット列によって第２インジケータとして報告されることができる。 In one embodiment, the second indicator represents the amplitude of the reference coefficient c _4,0 with respect to the amplitude a _1,1 of the coefficient having the maximum magnitude c 1, ₁ , whereby the second device has the reference coefficient c. Amplitude a of _{4,0 can} be derived. In one embodiment, a 4-bit field is probably introduced in UCI Part 2, where the 4-bit field comprises a quantized representation of the reference amplitude. In the example used, this reference amplitude relative to the reference factor is a value

Can be reported as a second indicator by the quantized bit string of.

は、１より小さい値を表す別の「ＮＮＮＮ」シーケンスであることが期待される。 In the embodiment where 4,0 = a1,1 the value of the quantized value of the second indicator may be "1111" (assuming quantization by 4 bits, the number of bits may be, for example, Can change according to regulations). Such a "1111" event for weaker polarization is less likely. This is because this means that the amplitude of the strongest element of the weaker polarization is the same as the amplitude of the strongest element of the stronger polarization. In general, the 4-bit sequence associated with the amplitude of the weakly polarized reference value is not "1111".

Is expected to be another "NNNN" sequence representing a value less than 1.

After the network node receives the second indicator, the network node can derive the magnitude of the reference coefficients c ₄ , 0 based on the second indicator. For example, the amplitudes a ₁ , 1 are 5, and a 4, ₀ are 3. Next, the value provided as the second indicator (before quantization) is a _4,0 / a _1,1 = 3/5 = 0.6. That is, it is quantized with a specific amount of bits, such as 4 bits, and transmitted to the network. The amplitudes of the other weaker polarization coefficients are normalized to a _4,0 . For example, the amplitude of the coefficients c ₄ , 1 is _normalized as a 4, ₁ / a 4, 0 in the sequence. If a ₄ , 1 = 2, the value provided in the sequence represents 2/3 = 0.66 (quantized value). The network node that receives these can further derive the ratio between a 1, ₁ and a ₄ , 1 with 0.6 * 0.66 = 0.4. Therefore, the network node may be able to perform the reconstruction of the original matrix up to scaling and phase rotation (assuming enough quantization bits are used to ignore the quantization error). .. For example, in this case, the network node 110 can reconstruct a _1,1 = 1, a _4,0 = 0.6, a _4,1 = 0.4. These values can correspond to the original values of a 1, ₁ , a 4, ₀ and a ₄ , 1 scaled by 5 (in this example, the original values of a ₁ , 1).

As shown in FIG. 5, take a look at the proposed solution in the signal transmission flow diagram between the device UE 120 and the gNB 110. Steps 400, 302-308 and 404 have already been described in the context of FIGS. 3 and 4. In step 500, after receiving the UCI containing the PMI report (including the indicator), the network node 110 derives a weaker polarization reference factor in addition to the stronger polarization reference factor, and then appropriately. The recording for the UE 120 can be adjusted in any way. The network node 110 and the UE 120 can then communicate in an efficient manner according to the coordinated recording. For example, according to one specification, the gNB can use a PMI communicated by a UE for a given frequency resource to feed the UE over that frequency resource. Furthermore, nothing prevents the gNB from performing proper signal processing on PMIs received from different UEs, ensuring that some relationships between them are adhered to. "Relationship" means that when multiple UEs are provided (simultaneously) on the same frequency resource, the gNB wants to ensure that the layers sent to the multiple UEs are in a cross-orthogonal relationship (eg, zero forcing). Means. In this case, the PMIs transmitted by multiple UEs of that frequency resource may be processed to be orthogonal to each other.

The solution can provide an efficient method containing, for example, a reference amplitude of weak polarization in a UCI message. This can be important because, unlike other coefficients, the position cannot be determined by a bitmap, and explicitly indicating this position is overhead. The solution can be applied separately for each RI layer.

ビットは、ＵＣＩ内の位置指示子に必要とされる。実際には、Ｋ_ＮＺおよび Ｋ＿０ は、典型的には、２^３＝８よりも大きい。ＵＣＩにおける位置指示子に３ビット以上必要とされ、係数ｃ_４，０の振幅の量子化表現に追加の４ビットが必要とされるので、ネットワーク装置に必要な情報を送信するためには、少なくとも８ビットが必要とされる。提案されたソリューションでは、シーケンス中の「１」のような所定の値が３ビットで示されてもよく、量子化された基準振幅Ａ_ｑを表す別個のパラメータ（例えばＵＣＩ中）が４ビットで示されることができるので、より少ないビットが必要とされる。これには、少なくとも８ビット未満の７ビットが必要である。 The proposed embodiment may require less bits than the solution constituting the explicit instruction, where

Bits are needed for position indicators within the UCI. In practice, _KNZ and ^K_0 are typically greater than 23 = 8. At least 3 bits are required for the position indicator in UCI, and an additional 4 bits are required for the quantized representation of the amplitude with coefficients c ₄ , 0, so at least to send the necessary information to the network device. 8 bits are required. In the proposed solution, a given value such as "1" in the sequence may be shown in 3 bits and a separate parameter representing the quantized reference amplitude _Aq (eg in UCI) is shown in 4 bits. Fewer bits are needed as it can be shown. This requires at least 7 bits, less than 8 bits.

From another point of view, the UE receives transmissions from the second device on two different polarizations on the radio channel, measures multiple coefficients based on the reception, and between the subsets of coefficients relative to the subset of coefficients. It can be said that the reference coefficient is determined, the first indicator and the second indicator with respect to the amplitude of the reference coefficient are determined, and the first and second indicators are reported to the second device. Next, the network node receives the first indicator and the second indicator from the first device as an example of the second device, and the first and second indicators represent the amplitude of the reference coefficient of a subset of the coefficients. As mentioned above, both the first and second indicators can be referred to as amplitude indicators. The term "about amplitude" can be used herein to refer to an indicator of the amplitude / magnitude of a reference factor in some way. For example, with respect to the size of the reference factor (c 4, ₀ ) itself, or with respect to the size / magnitude of other coefficients such as c 1, ₁ or some other coefficient, the reference factor for other magnitudes (eg, for example). It can include differential magnitudes that represent the magnitude difference or ratio of c _4,0 ). According to one embodiment, the reference factor is the coefficient having the largest magnitude within a subset of the coefficients. In one embodiment, the subset comprises a coefficient of specific polarity. In one embodiment, the constant polarization is weak polarization.

As shown in FIG. 6, an embodiment provides a device 10 comprising a control circuit 12 such as at least one processor and at least one memory 14 containing a computer program code (PROG), at least one memory. And computer program code (PROG) are configured by at least one processor to cause the device to perform any one of the processes described above. Memory is achieved using any suitable data storage technology such as semiconductor-based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory. be able to.

In one embodiment, the device 10 is a communication system terminal device, such as a user terminal (UT), computer (PC), laptop, tabloid computer, mobile phone, mobile phone, communicator, smartphone, palm computer, mobile transport. It can include devices (such as automobiles), home appliances, or other communication devices commonly referred to as UEs. Alternatively, this device is composed of such a terminal device. In addition, the device may, or is equipped with, a part that provides connectivity (attached to the UE) such as a plug-in unit, a "USB dongle", or any other type of unit. May be good. The unit can be installed inside the UE, attached to the UE using a connector, or attached wirelessly.

In one embodiment, the device 10 is or is included in the UE 120. The device can be triggered to perform some of the functions of the process described above, such as the step in FIG.

The device may further comprise a communication interface 16 comprising hardware and / or software for achieving communication connectivity according to one or more communication protocols. The TRX can, for example, provide the device with the ability to communicate to access a radio access network. The device can also include, for example, a user interface 18 including at least one keypad, microphone, touch display, display, speaker and the like. The user interface can be used to control the device by the user.

The control circuit 12 may include a measurement control circuit 20 for performing measurements of received transmissions and for determining coefficients based on the measurements, according to any of the embodiments. The control circuit 12 may further comprise a reporting control circuit 22 for processing the measurement results, deriving the first and second indicators, and controlling the transmission of the report to the network, according to any of the embodiments. .. Processing and derivation can include operations such as normalization and quantization, for example.

As shown in FIG. 7, embodiments provide a device 50 comprising a control circuit 52, such as at least one processor, and at least one memory 54, including computer program code (PROG), with at least one memory. The computer program code (PROG) consists of at least one processor and causes the device to perform any one of the above processes. Memory is achieved using any suitable data storage technology such as semiconductor-based memory devices, ignition memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory. be able to.

In one embodiment, the device 50 may or may be a network node such as a 5G gNB / gNB-CU / gNB-DU. In one embodiment, the device 50 is or is included in the network node 110. The device can be triggered to perform some of the functions of the process described above, such as the step in FIG.

Future networks will be operationally connected to provide network functions virtualization (NFV), or network function virtualization (NFV), a network architecture concept that proposes to virtualize network node functions into "building blocks." It should be understood that there are entities available that can be linked to each other. A virtualized network function (VNF) can include one or more virtual machines that run computer program code using standard or generic type servers instead of customized hardware. Cloud computing or data storage is also available. In wireless communication, this is at least partially performed in a central / centralized unit, in a CU (eg, server, host or node) operationally coupled to a distributed unit DU (eg, wireless head / node). Can mean a node operation. Node operations can also be distributed among multiple servers, nodes, or hosts. It should also be understood that labor distribution between core network operations and base station operations can vary from implementation to implementation.

In one embodiment, the server can create a virtual network in which the server communicates with the wireless node. In general, a virtual network may include the process of combining hardware and software network resources and network capabilities into a virtual network that is a single software-based management entity. Such virtual networks can provide flexible distribution of operations between servers and wireless heads / nodes. In practice, any digital signal processing task can be performed on either the CU or the DU, and the boundaries at which responsibilities are shifted between the CU and the DU can be selected depending on the implementation.

Therefore, in the embodiment, the CU-DU architecture is implemented. In such cases, the device 50 is operationally connected to a central device (eg, control unit, edge cloud server, server) (eg, via a wireless or wired network) and a distributed unit (eg, remote wireless head /). Can be configured in a node). That is, the central device (eg, an edge cloud server) and the wireless node may be stand-alone devices that communicate with each other via a wireless path or via a wired connection. Alternatively, they may be within the same entity communicating via a wired connection or the like. An edge cloud or edge cloud server can provide multiple radio nodes or radio access networks. In one embodiment, at least a portion of the described process can be performed by a central unit. In another embodiment, the device 50 may instead be included in the distributed unit, and at least a portion of the described process can be performed by the distributed unit.

In one embodiment, the performance of at least a portion of the functionality of device 50 can be shared between two physically separate devices (DU and CU) that form one operating entity. Thus, the device can be seen to indicate an operating entity that contains one or more physically isolated devices for performing at least a portion of the described process. In one embodiment, such a CU-DU architecture can provide a flexible distribution of operation between the CU and the DU. In practice, any digital signal processing task can be performed on either the CU or the DU, and the boundaries at which responsibilities are shifted between the CU and the DU can be selected depending on the implementation. In one embodiment, the device 50 controls the execution of the process, regardless of the location of the device and where the process / function is executed.

The device may further comprise a communication interface 56 including hardware and / or software for achieving communication connectivity according to one or more communication protocols. The TRX can, for example, provide the device with the ability to communicate to access a radio access network. The device can also include, for example, a user interface 58 including at least one keypad, microphone, touch display, display, speaker and the like. The user interface can be used to control the device by the user.

The control circuit 52 may include a transmission control circuit 60 for controlling transmission to and from transmission to or from one or more UEs 120 and 122. This may include setting the appropriate recording vector to optimize MIMO performance according to any of the embodiments. The control circuit 12 may include a report processing circuit 62 for processing received reports, including first and second indicators from the UE, according to any of the embodiments. For example, receiving the first and second indicators from the UE may help set up proper recording for the UE.

In embodiments, an apparatus that performs at least a portion of the described embodiment comprises at least one processor and at least one memory containing computer program code, said at least one memory and said computer program. The code is configured by the at least one processor and causes the device to perform a function according to any one of the described embodiments. According to one aspect, when the at least one processor executes the computer program code, the computer program code causes the device to perform a function according to any one of the described embodiments. According to another embodiment, the apparatus that performs at least a portion of the embodiment comprises at least one processor and at least one memory containing computer program code, said at least one processor and said computer. The program code performs at least a portion of the function according to any one of the described embodiments. Thus, at least one processor, memory, and computer program code forms a processing means for executing at least a portion of the described embodiment. According to yet another embodiment, the device performing at least a portion of the embodiment includes a circuit comprising at least one processor and at least one memory containing computer program code. Upon activation, the circuit causes the device to perform at least some of the functions according to any one of the described embodiments.

As used in this application, the term "circuit" refers to (a) hardware-only circuit implementations in analog and / or digital circuit-only implementations, and (b) circuits and software (and / or firmware). ) Combinations (if applicable) (i) Processor combinations, or (ii) Processor / software parts, including digital signal processors, software, and memory that work together to force the device to perform various functions. , (C) Refers to a circuit such as a microprocessor or part of a microprocessor that requires the software or firmware to operate, even if the software or firmware is not physically invented. This definition of "circuit" applies to all uses of this term in this application. As a further example, as used in this application, the term "circuit" also covers a mere processor (or multiple processors), or a portion of a processor and its associated software and / or firmware implementation. Also, the term "circuit" is used, for example, as a baseband integrated circuit or application processor for a mobile phone or similar integrated circuit in a server, cellular network device, or another network device, if applicable to a particular element. Covers integrated circuits.

In embodiments, at least a portion of the described process can be performed by a device comprising the corresponding means for performing at least a portion of the described process. Some example means for running a process are detectors, processors (including dual-core and multi-core processors), digital signal processors, controllers, receivers, transmitters, encoders, decoders, memory, RAM, ROMs. , Software, firmware, display, user interface circuit, user interface circuit, user interface software, display software, circuit, antenna, antenna circuit, and circuit.

The techniques and methods described herein can be implemented by a variety of means. For example, these techniques can be realized with hardware (one or more devices), firmware (one or more devices), software (one or more parts), or a combination thereof. For hardware implementation, the devices of the embodiment are one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processors (DSPDs), programmable logic devices (PLDs), field programmable gates. It can be implemented within an array (FPGA), processor, controller, microcontroller, microprocessor, other electronic unit designed to perform the functions described herein, or a combination thereof. In the case of firmware or software, implementation can be performed via a module of at least one chipset (eg, procedure, function, etc.) that performs the functions described herein. The software code is stored in a memory unit and can be executed by the processor. Memory units can be implemented within or outside the processor. In the latter case, as is known in the art, it can be communicably coupled to the processor via various means. In addition, the components of the system described herein may be rearranged and / or complemented by additional components to facilitate the achievement of the various aspects described therein, and to those of skill in the art. As will be appreciated, it is not limited to the exact configuration described in the given figure.

The embodiments described may also be performed in the form of computer processes defined by a computer program or a portion thereof. The embodiments of the described method can be performed by executing at least a portion of a computer program containing the corresponding instructions. The computer program may be stored in some kind of carrier, which may be in source code format, object code format, or some intermediate form, and may be any entity or device that can carry the program. can. For example, a computer program can be stored on a computer program distribution medium that can be read by a computer or processor. Computer program media may be, but are not limited to, recording media, computer memory, read-only memory, telecommunications signals, and software distribution packages. For example, the computer program medium may be a non-temporary medium. Encoding the software to perform embodiments as illustrated and described is sufficient within the technical scope of one of ordinary skill in the art.

The following is a list of some aspects of the invention.

According to the first aspect, the device comprising at least one processor and at least one memory including computer program code, wherein the at least one memory and the computer program code are at least one. Using one processor, the first device is made to receive transmissions from the second device with two different polarizations on the radio channel, and multiple coefficients related to the pre-recording matrix are determined based on the channel measurement of the reception. Here, the selected coefficient is the reference coefficient of the weak polarization, and one coefficient is selected from the coefficients of the weak polarization, and the selected coefficient is the reference coefficient of the weak polarization. It is a reference coefficient and causes the first indicator and the second indicator to be determined with respect to the reference coefficient, where the first indicator indicates the position of the reference coefficient in the combination matrix, and the second indicator is the reference coefficient. Provided is an apparatus comprising an amplitude value associated with, configured to cause the first indicator and the second indicator to be reported to the second device.

Various embodiments of the first aspect are
• Have a second device report a bitmap corresponding to the combination matrix, the bitmap showing the spatial and frequency domain positions of those coefficients above a predetermined threshold, the first indicator being the maximum. Except for the coefficients having magnitude, the second device may include at least one feature from the bulleted list in a sequence containing amplitude values of the coefficients above a predetermined threshold. The order of the sequence is determined by the bitmap, the position of the first indicator in the sequence determines the position of the reference factor in the combination matrix, and the first indicator is a predetermined value of the sequence. Represents
The second indicator in the field is reported, its position is independent of the first indicator, the second indicator representing the amplitude of the reference coefficient with respect to the amplitude of the coefficient having the maximum magnitude. -Here, the second indicator is reported in the field of uplink control information.
-Here, the second indicator is reported to a predetermined position in the sequence. -Here, the reference coefficient is a coefficient having the maximum magnitude within the range of the coefficient of weaker polarization.

According to the second aspect, the device comprising at least one processor and at least one memory containing computer program code, wherein the at least one memory and the computer program code are wireless channels. The above two different coefficients are transmitted to the first device to receive the first indicator and the second indicator from the first device, where the first indicator and the second indicator are the weaker polarizations. Represents a reference factor of the coefficients of, the coefficients are associated with a precoding matrix based on channel measurements, the coefficients define at least a partial combination matrix, and the combination is based on the first indicator. An apparatus is provided that is configured to derive the position of the reference factor in a matrix.

Various embodiments of the second aspect are
-Receive bitmaps corresponding to the combination matrix from the first device, except for the coefficients with the largest magnitude, which indicate the spatial and frequency domain positions of those coefficients above a predetermined threshold. The first indicator is received from the first device in a sequence containing an amplitude value of the coefficient exceeding the predetermined threshold, the order of the sequence is determined by the bitmap, and the first indicator is a predetermined indicator in the sequence. Contains the value of
-Furthermore, the position of the reference coefficient in the combination matrix is derived based on the bitmap.-The second indicator is received in the field and the position is independent of the first indicator. Represents the amplitude of the reference coefficient with respect to the amplitude of the coefficient having the maximum magnitude.
The magnitude of the reference coefficient is derived based on the second indicator, where the reference coefficient is the coefficient having the largest magnitude among the coefficients of the weaker polarization.
Can include at least one feature from the bulleted list of.

According to the third aspect, the step of receiving transmissions on two different polarizations on the radio channel from the network and the plurality of coefficients associated with the precoding matrix are determined based on the channel measurements of the reception. A step in which the coefficient defines a combination matrix at least partially, and a step of selecting a coefficient from the weakly polarized coefficients, wherein the selected coefficient is the weak. A step which is a reference coefficient of polarization and a step of determining a first indicator and a second indicator with respect to the reference coefficient, wherein the first indicator indicates the position of the reference coefficient in the combination matrix and is said to be the first. The two indicators provide a method in the user equipment, comprising a step, which comprises an amplitude value associated with said reference factor. Various embodiments of the third aspect can include at least one feature from the "." Marked list under the first aspect.

According to a fourth aspect, there is a step of transmitting to a user device via a radio channel with two different coefficients and a step of receiving a first indicator and a second indicator from the user device, wherein the first indicator is used. And the second indicator represents a reference coefficient of the coefficient of the weaker polarization, the coefficient is associated with a precoding matrix based on channel measurements, and the coefficient defines at least a partially combined matrix. A method at a network node is provided that includes a step and a step of deriving the position of a reference factor in the combination matrix based on the first indicator. Various embodiments of the fourth aspect can include at least one feature from the bulleted list under the second aspect.

According to a fifth aspect, a computer program product embodied on a computer-readable distribution medium and a comprise program instruction that performs the method according to the third aspect when loaded into the device. Is provided. Various embodiments of the fifth aspect can include at least one feature from the bulleted list below the first aspect.

According to a sixth aspect, a computer program product is provided that includes program instructions that, when embodied on a computer-readable distribution medium and loaded into the apparatus, perform the method according to the fourth aspect. To.

According to a seventh aspect, a computer program product is provided that includes program instructions that perform the method according to the third aspect when loaded into the device.

According to an eighth aspect, a computer program product is provided that includes program instructions that perform the method according to the fourth aspect when loaded into the apparatus.

According to a ninth aspect, an apparatus is provided comprising means for performing the method according to the third aspect and / or means configured to cause a user device to perform the method according to the third aspect. To.

According to a tenth aspect, an apparatus is provided comprising means for performing the method according to the fourth aspect and / or means configured to cause a user device to perform the method according to the fourth aspect. To.

According to the eleventh aspect, one or more processors and at least one data storage are associated with at least one data storage for performing the method according to the third aspect and / or the fourth aspect. , A computer system comprising one or more computer program instructions executed by the one or more processors.

Although the present invention has been described above with reference to the examples according to the attached drawings, the present invention is not limited to this, and can be modified by some methods within the technical scope of the attached claims. Is clear. Therefore, all words and expressions should be broadly interpreted and they are not intended to limit embodiments and are intended to be illustrated. It will be obvious to those skilled in the art that the concepts of the present invention can be implemented in various ways as the art advances. Moreover, it will be apparent to those skilled in the art that the described embodiments can be combined with other embodiments in various ways, but are not essential.

Claims (25)

A device with at least one processor and at least one memory containing computer program code.
The at least one memory and the computer program code use the at least one processor.
The first device is made to receive transmissions from the second device on two different polarizations on the radio channel, and based on the channel measurement of the reception, a plurality of coefficients related to the recording matrix are determined, wherein the said. The coefficients define the combination matrix, at least in part, and
One coefficient is selected from the coefficients of the weak polarization, and the selected coefficient is the reference coefficient of the weak polarization.
A first indicator and a second indicator are determined with respect to the reference coefficient, where the first indicator indicates the position of the reference coefficient in the coupling matrix and the second indicator is an amplitude associated with the reference coefficient. It contains a value and
A device configured to have the first and second indicators reported to the second device. The at least one memory and the computer program code are further added to the first device using the at least one processor.
The bitmap corresponding to the combination matrix is reported to the second device, the bitmap showing the spatial and frequency domain positions of those coefficients exceeding a predetermined threshold, the first indicator being the largest. Except for the coefficient having a magnitude, it is configured to have the second device report in a sequence containing the amplitude value of the coefficient exceeding the predetermined threshold.
The first indicator includes a predetermined value in the sequence, the sequence of the sequence is determined by the bitmap, and the position of the first indicator in the sequence is the reference coefficient of the reference coefficient in the combination matrix. Determine the position,
The device according to claim 1. The at least one memory and the computer program code are configured to use the at least one processor to cause the first device to further report the second indicator in the field, the location of the field being second. The device of claim 1 or 2, which is independent of one indicator, wherein the second indicator indicates the amplitude of the reference coefficient with respect to the amplitude of the coefficient having the maximum magnitude. The device according to any one of claims 1 to 3, wherein the second indicator is reported in the field of uplink control information. The device of claim 2 or 3, wherein the second indicator is reported at a predetermined location in the sequence. The apparatus according to any one of claims 1 to 5, wherein the reference coefficient is a coefficient having the maximum magnitude within the range of the coefficient of weaker polarization. The device according to any one of claims 1 to 6, wherein the first device is a user device. A device comprising at least one processor and at least one memory containing computer program code.
The at least one memory and the computer program code are attached to the second device using the at least one processor.
Have the first device transmit over two different polarizations on the radio channel
The first indicator and the second indicator are received from the first device, wherein the first indicator and the second indicator represent the reference coefficient of the coefficient of the weaker polarization, and the coefficient is used for channel measurement. Associated with the pre-recording matrix based on, the coefficients define the combination matrix at least in part.
An apparatus configured to derive the position of the reference factor in the combination matrix based on the first indicator. The at least one memory and the computer program code are further to the second device using the at least one processor.
A bitmap corresponding to the combination matrix from the first device is received, and the bitmap shows the spatial and frequency domain positions of those coefficients above a predetermined threshold.
Except for the coefficient having the maximum magnitude, the first indicator is received from the first device in a sequence containing an amplitude value of the coefficient exceeding the predetermined threshold, and the sequence of the sequence is the bitmap. The first indicator comprises a predetermined value in the sequence, as determined by
The apparatus according to claim 8, further configured to derive the position of the reference factor in the combination matrix based on the bitmap. The at least one memory and the computer program code receive / receive a second indicator in the field to the second device using the at least one processor, where the location of the field is said. Independent of the first indicator, the second indicator indicates the amplitude of the reference coefficient with respect to the amplitude of the coefficient having the maximum magnitude, and the magnitude of the reference coefficient is derived based on the second indicator. The device according to claim 8 or 9, which is configured to be configured. The apparatus according to any one of claims 8 to 10, wherein the reference coefficient is a coefficient having the largest magnitude within the coefficient of weaker polarization. A step of receiving transmissions on two different polarizations on a radio channel from the network and a step of determining a plurality of coefficients associated with the pre-recording matrix based on the received channel measurement, the coefficients being. A step that at least partially defines a combination matrix, and a step of selecting a coefficient from the coefficients of the weak polarization, wherein the selected coefficient is a reference coefficient of the weak polarization. The first indicator indicates the position of the reference coefficient in the combination matrix, and the second indicator is the step of determining the first indicator and the second indicator with respect to the reference coefficient. A method in a user device comprising a step comprising an amplitude value associated with a reference factor and a step of reporting the first indicator and the second indicator to the network. A step of reporting a bitmap corresponding to a combination matrix to the network, wherein the bitmap indicates the spatial and frequency domain positions of those coefficients above a predetermined threshold.
A step of reporting the first indicator to the network in a sequence comprising an amplitude value of a coefficient that exceeds the predetermined threshold, except for the coefficient having the maximum magnitude, wherein the first indicator is in the sequence. The steps, which include predetermined values, the order of the sequence is determined by the bitmap, and the position of the first indicator in the sequence determines the position of the reference factor in the combination matrix.
12. The method of claim 12. A step of reporting the second indicator in a field whose position is independent of the first indicator, wherein the second indicator is the reference coefficient for the amplitude of the coefficient having the maximum magnitude. 12. The method of claim 12 or 13, further comprising a step indicating the amplitude. The method of any one of claims 12-14, wherein the second indicator is reported in the field of uplink control information. 13. The method of claim 13 or 14, wherein the second indicator is reported at a predetermined location in the sequence. The method according to any one of claims 12 to 16, wherein the reference coefficient is a coefficient having the maximum magnitude within the coefficient of weaker polarization. The step of transmitting to the user equipment via the wireless channel with two different polarizations,
In the step of receiving the first indicator and the second indicator from the user equipment, the first indicator and the second indicator represent the reference coefficient of the coefficient of the weaker polarization, and the coefficient represents a channel measurement. Associated with a pre-recording matrix based on, the coefficients define, at least in part, a combination matrix, with steps.
A step of deriving the position of the reference coefficient in the combination matrix based on the first indicator,
Methods at network nodes, including. A step of receiving a bitmap corresponding to the combination matrix from the user equipment, wherein the bitmap indicates a spatial and frequency domain position of those coefficients above a predetermined threshold.
It is a step of receiving the first indicator from the user equipment in a sequence including the amplitude value of the coefficient exceeding the predetermined threshold except for the coefficient having the maximum magnitude, and the order of the sequence is determined by the bitmap. The step and the step, wherein the first indicator contains a predetermined value in the sequence.
Further, a step of deriving the position of the reference coefficient in the combination matrix based on the bitmap, and
18. The method of claim 18. The step of receiving the second indicator in the field, the position of which is independent of the first indicator, the second indicator deriving the magnitude of the reference factor based on the second indicator. 18. The method of claim 18 or 19, further comprising a step showing the amplitude of a reference factor with respect to the amplitude of the coefficient having the largest magnitude. The method according to any one of claims 18 to 20, wherein the reference coefficient is the coefficient having the largest magnitude within the coefficient of weaker polarization. A computer program product comprising a program instruction that performs the method according to any one of claims 12 to 21 when embodied on a computer-readable distribution medium and loaded into the apparatus. A computer program product comprising a program instruction that performs the method according to any one of claims 12 to 21 when loaded into the apparatus. A device comprising means for performing the method according to any one of claims 12 to 21. Performed by the one or more processors in connection with one or more processors, at least one data storage, and at least one data storage for performing the process according to any of claims 12-21. A computer system that includes one or more computer program instructions.

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